摘要
泄漏电流是表征气体绝缘输电线路(GIL)内部绝缘子性能优劣的重要指标,在实际工程中泄漏电流信号的采集常受窄带信号与白噪声信号的干扰,进而影响对于绝缘子性能的准确评估,常用泄漏电流去噪方法多依赖于经验参数与人工设定。针对以上问题,提出利用奇异值曲率谱对奇异值变换(singular value decomposition,SVD)进行改进,去除窄带信号干扰;然后引入正负白噪声组,利用经验模态分解(empirical mode decomposition,EMD)对含有白噪声信号的泄漏电流信号进行分解,在分解过程中对模态分量进行去噪处理,保留最终模态分量即为无噪泄漏电流信号。信号仿真与现场实测结果均表明所提方法可以有效实现GIL绝缘子泄漏电流去噪。
Leakage current is an important indicator to characterize the performance of GIL internal insulator.In practical engineering,the acquisition of leakage current signal is often interfered by narrow-band signal and white noise signal,which affects the accurate evaluation of insulator performance.The common methods of leakage current denoising rely on empirical parameters and manual settings.In order to solve the above problems,singular value decomposition(SVD)is improved by using singular value curvature spectrum to remove narrowband signal interference.Then,the positive and negative white noise groups are introduced,and the leakage current signal with white noise is decomposed by empirical mode decomposition(EMD).In the decomposition process,the modal component is denoised,and the final modal component is the noiseless leakage current signal.The results of signal simulation and field measurement show that the proposed method can effectively denoise the leakage current of GIL insulator.
作者
王立宪
马宏忠
戴锋
Wang Lixian;Ma Hongzhong;Dai Feng(College of Energy and Electrical Engineer,Hohai University,Nanjing 211100,China;State Grid Jiangsu Electric Power Co.,Ltd.Maintenance Branch Company,Nanjing 211102,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2022年第1期166-173,共8页
Journal of Electronic Measurement and Instrumentation
基金
中国博士后科学基金(2020M671318)
江苏省自然科学基金(BK20190490)
国网江苏省电力公司重点科技项目(J2020040)资助
作者简介
王立宪,2015年于南京师范大学获得学士学位,现为河海大学硕士研究生,主要研究方向为GIL设备运行状态监测与故障预警。E-mail:837213579@qq.com;马宏忠,1989年于东南大学获得学士学位,1994年于东南大学获得硕士学位,2002年于东南大学获得博士学位,现为河海大学教授,主要研究方向为电力设备状态监测与故障诊断。E-mail:hhumhz@163.com
